Browsing Research articles (Dept of Statistics) by Author "Forcheh, N."
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Forcheh, N.; Fako, T. (Academic Journals, http://www.academicjournals.org, NaN, 2007)[more][less]
Abstract: The study proposes a measure of effective productivity among service workers and seeks a parsimonious predictive model of “effective productivity” among nurses in Botswana. Employee productivity has become a concern of organisations in all economic sectors world wide. In Botswana, it has also become a national priority issue and has been listed as one of the goals of the long term vision for Botswana due to perceived low productivity among the workforce. Productivity among nurses is of special significance because of their critical role in the primary health care system. Nurses working under local government control in Botswana provide a good case study since they all have to perform certain routine activities from which their productivity could be measured and compared. Self completed anonymous questionnaires were used to collect the relevant data from all health facilities under local government control in Botswana. A representative sample of 325 questionnaires were returned and analysed. Chi-squared test of association was used to identify univariate factors associated with effective productivity from among a list of 38 variables. Hierarchical stepwise multiple logistic regression analysis was used to identify a predictive model for effective productivity among nurses. Thirteen of the 38 variables were found to be significant univariate predictors of effective productivity (p<0.05). Only eight of these factors were retained during a search for a parsimonious predictive model. These in order of importance were midwifery training, involvement with the Village Development Committee, involvement in making health policies, peer support, religious affiliation, ability to complete the Botswana Obstetric Record, quality of health after posting and involvement with the community. The overall impact of these factors was found to be additive. The results underline the importance of midwifery training for effective productivity among nurses in Botswana. It is concluded that all nurses in Botswana should be encouraged and accorded the opportunity to do midwifery training. Nurses should further be encouraged to become more involved in the communities in which they work, as well as develop supportive relationships and a friendly atmosphere at the work place. URI: http://hdl.handle.net/10311/713 Files in this item: 1
Forcheh_AJBM_2007.pdf (191.7Kb) -
Forcheh, N. (Wiley-Blackwell, www.wiley.com/wiley-blackwell, NaN, 2002)[more][less]
Abstract: Summary. Ehrenberg presented the simple law-like relationship log(w) = 0.8h + 0.4 ? 0.04 between the weight and height of children aged 5-13 years. Several researchers have confirmed that this relationship holds, irrespective of the child's ethnic, racial, gender and social class. In anthropometry, a weight-height relationship is used to measure the nutritional status of children. For this purpose, the World Health Organization have adopted the National Center for Health Statistics population as the international reference population. The relationship between the World Health Organization-National Center for Health Statistics anthropometric standards and Ehrenberg law-like relationship is examined. Differences between the weight-for-height relationship in anthropometry and the law-like relationship between weight and height for children are small and can be attributable to functional differences. It is found that an Ehrenberg law-like relationship can be extended to include children who are under 5 years old. Criteria for using the law-like relationship to assess the nutritional status of these children are thus suggested. The criteria are evaluated using anthropometric data of a sample of 513 children from a rural district of Botswana. The results indicate that the proposed method of using the law-like relationship to assess nutritional status is much simpler and at least as reliable as the existing methods in anthropometry. Description: Symbols on the abstract may differ from the original abstract URI: http://hdl.handle.net/10311/1055 Files in this item: 1
Forcheh_JRSS.A_2002.pdf (2.588Mb) -
Amey, KA.A.; Forcheh, N.; Setlhare, K. (Dove Medical Press Ltd. www.dovepress.com/, NaN, 2012)[more][less]
Abstract: Background: Predictive models for mortality due to human immunodeficiency virus (HIV) disease as a result of opportunistic infections, such as tuberculosis and pneumonia, have been developed. Methods: The data are taken from the Statistics South Africa multiple causes of death data for 2006 and 2007, which is available for public use. The dataset was compiled from death notifications, and contains up to five causes of death as well as some demographic characteristics of the deceased. The logistic regression modeling framework was used to model the presence or absence of HIV disease, given the predictive variables. Results: The higher the number of causes listed, the higher the likelihood that HIV would be a cause, with the percentage of notifications of HIV listed increasing from under 2% when only one cause is listed to almost 15% when 4–5 causes are listed. When the logit model was fitted to the multiple cause of death model, it was found that individual demographics were good predictors of the likelihood that the death notification would have HIV as one of the causes of death. Although there are highly significant differences in the likelihood that people of different demographics would die from HIV, the predictive power of these demographic factors on their own is very low, especially when there is only a single cause of death mentioned. With the full multiple cause of death model, two-way interactions between tuberculosis, pneumonia, and other opportunistic infections were highly significant, and their inclusion lead to significant improvements in the predictive power of the model. URI: http://hdl.handle.net/10311/1071 Files in this item: 1
Forcheh_OAMS_2012.pdf (302.7Kb)
Now showing items 1-3 of 3